Description: Education: Bachelor’s degree in Engineering, Administration, Statistics, Data Science, or related fields. Desired knowledge: Solver and Python for process modeling and automation; Power BI and Tableau for performance analysis; S&OP cycle and indicator-based governance; Best practices in Data Governance and Master Data Management; Advanced Excel and manipulation of large datasets; ERP (preferably SAP S/4HANA modules PP and MM); Industrial performance indicators (OEE, productivity, efficiency, etc.) Advantages: Implementation of analytical solutions or planning automation projects. Develop analytical and technological solutions aimed at optimizing production planning, promoting operational efficiency, process automation, and continuous improvement. Act as a transformation agent in the use of data and digital tools, ensuring fact-based decision-making supported by simulations, scenarios, and governance via the S&OP process. Collaborates with the following areas: * Production Planning and Control (PPCP) * Industrial Operations * Procurement and Materials * Information Technology Technical support areas under responsibility: * Data Intelligence * Optimization and Performance 2512060202191833565